Nasreen Islam Khan

1.5k total citations · 1 hit paper
31 papers, 1.2k citations indexed

About

Nasreen Islam Khan is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Nasreen Islam Khan has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Chemistry, 8 papers in Health, Toxicology and Mutagenesis and 7 papers in Pollution. Recurrent topics in Nasreen Islam Khan's work include Arsenic contamination and mitigation (14 papers), Heavy Metal Exposure and Toxicity (8 papers) and Heavy metals in environment (7 papers). Nasreen Islam Khan is often cited by papers focused on Arsenic contamination and mitigation (14 papers), Heavy Metal Exposure and Toxicity (8 papers) and Heavy metals in environment (7 papers). Nasreen Islam Khan collaborates with scholars based in Australia, China and Bangladesh. Nasreen Islam Khan's co-authors include Gary Owens, Xuan Wu, Haolan Xu, Zuliang Chen, Hong Yang, Ravi Naidu, David Bruce, Jinxi Song, Shouke Wei and Roy Brouwer and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Nasreen Islam Khan

31 papers receiving 1.1k citations

Hit Papers

Graphene and Rice-Straw-Fiber-Based 3D Photothermal Aerog... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nasreen Islam Khan Australia 18 366 347 261 150 133 31 1.2k
Yao Yao Canada 19 696 1.9× 174 0.5× 91 0.3× 145 1.0× 148 1.1× 40 1.7k
Shibin Xia China 19 352 1.0× 123 0.4× 164 0.6× 113 0.8× 73 0.5× 86 1.1k
Sang‐hun Lee South Korea 18 438 1.2× 323 0.9× 113 0.4× 138 0.9× 118 0.9× 78 1.4k
Motasem Y.D. Alazaiza Oman 21 508 1.4× 185 0.5× 265 1.0× 210 1.4× 229 1.7× 85 1.5k
Zhi Chen Canada 27 333 0.9× 207 0.6× 121 0.5× 442 2.9× 429 3.2× 98 2.0k
Md. Shafiquzzaman Saudi Arabia 20 476 1.3× 150 0.4× 194 0.7× 134 0.9× 195 1.5× 92 1.2k
Heng Li China 22 383 1.0× 153 0.4× 80 0.3× 87 0.6× 146 1.1× 79 1.4k
Lian-Shin Lin United States 23 792 2.2× 179 0.5× 421 1.6× 235 1.6× 270 2.0× 64 1.7k
Seo Jin Ki South Korea 22 485 1.3× 159 0.5× 142 0.5× 96 0.6× 283 2.1× 70 1.2k

Countries citing papers authored by Nasreen Islam Khan

Since Specialization
Citations

This map shows the geographic impact of Nasreen Islam Khan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nasreen Islam Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasreen Islam Khan more than expected).

Fields of papers citing papers by Nasreen Islam Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nasreen Islam Khan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nasreen Islam Khan. The network helps show where Nasreen Islam Khan may publish in the future.

Co-authorship network of co-authors of Nasreen Islam Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Nasreen Islam Khan. A scholar is included among the top collaborators of Nasreen Islam Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nasreen Islam Khan. Nasreen Islam Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Rashedi, Ahmad, M. Hussain, Nasreen Islam Khan, et al.. (2022). Life cycle environmental sustainability and cumulative energy assessment of biomass pellets biofuel derived from agroforest residues. PLoS ONE. 17(10). e0275005–e0275005. 10 indexed citations
5.
Ullah, Sami, et al.. (2021). Identification of Suitable Sites for Jatropha curcas L. Bioenergy Plantation Using the AquaCrop Model. Forests. 12(12). 1772–1772. 2 indexed citations
6.
Jin, Xiaoying, et al.. (2021). Bimetallic Fe/Ni nanoparticles derived from green synthesis for the removal of arsenic (V) in mine wastewater. Journal of Environmental Management. 301. 113838–113838. 38 indexed citations
7.
Li, Wenpeng, Qingping Wang, Xiaoying Jin, et al.. (2021). Removal of low Sb(V) concentrations from mining wastewater using zeolitic imidazolate framework-8. Journal of Environmental Management. 287. 112280–112280. 24 indexed citations
8.
Khan, Nasreen Islam, et al.. (2021). The Worldwide Environmental Encroachments of COVID-19 Outbreak. ACTA SCIENTIFIC MICROBIOLOGY. 4(5). 114–121. 2 indexed citations
9.
Wu, Zhicheng, et al.. (2020). Removal of As(V) by iron-based nanoparticles synthesized via the complexation of biomolecules in green tea extracts and an iron salt. The Science of The Total Environment. 764. 142883–142883. 32 indexed citations
10.
Darvishzadeh, Roshanak, et al.. (2018). Discriminating transplanted and direct seeded rice using Sentinel-1 intensity data. International Journal of Applied Earth Observation and Geoinformation. 76. 143–153. 29 indexed citations
11.
Setiyono, Tri, F. Holecz, Nasreen Islam Khan, et al.. (2017). Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia. IOP Conference Series Earth and Environmental Science. 54. 12015–12015. 18 indexed citations
12.
Bundschuh, Jochen, Jyoti Prakash Maity, Shahbaz Mushtaq, et al.. (2017). Medical geology in the framework of the sustainable development goals. The Science of The Total Environment. 581-582. 87–104. 95 indexed citations
13.
Khan, Nasreen Islam, Roy Brouwer, & Hong Yang. (2014). Household's willingness to pay for arsenic safe drinking water in Bangladesh. Journal of Environmental Management. 143. 151–161. 58 indexed citations
14.
Johnston, Richard B., Stephan J. Hug, Jennifer Inauen, et al.. (2014). Enhancing arsenic mitigation in Bangladesh: Findings from institutional, psychological, and technical investigations. The Science of The Total Environment. 488-489. 477–483. 33 indexed citations
15.
Khan, Nasreen Islam & Hong Yang. (2013). Arsenic mitigation in Bangladesh: An analysis of institutional stakeholders' opinions. The Science of The Total Environment. 488-489. 493–504. 17 indexed citations
16.
Khan, Manzurul Haque, et al.. (2010). Assessment of low ABSPI among arsenic exposed and non-exposed populations: A pilot study. Bangladesh Medical Research Council Bulletin. 36(1). 23–26. 2 indexed citations
17.
Khan, Nasreen Islam, David Bruce, Ravi Naidu, & Gary Owens. (2009). Implementation of food frequency questionnaire for the assessment of total dietary arsenic intake in Bangladesh: Part B, preliminary findings. Environmental Geochemistry and Health. 31(S1). 221–238. 43 indexed citations
18.
Khan, Nasreen Islam, Gary Owens, David Bruce, & Ravi Naidu. (2009). An effective dietary survey framework for the assessment of total dietary arsenic intake in Bangladesh: Part-A—FFQ design. Environmental Geochemistry and Health. 31(S1). 207–220. 8 indexed citations
19.
Khan, Nasreen Islam, Gary Owens, David Bruce, & Ravi Naidu. (2009). Human arsenic exposure and risk assessment at the landscape level: a review. Environmental Geochemistry and Health. 31(S1). 143–166. 55 indexed citations
20.
Khan, Nasreen Islam, et al.. (2003). Quantification of erosion patterns in the Brahmaputra–Jamuna River using geographical information system and remote sensing techniques. Hydrological Processes. 17(5). 959–966. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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